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Emerson Lopes Machado | Thiago Marques | Ricardo Pezzuol Jacobi | Cristiano Jacques Miosso | Ricardo von Borries | Murilo Coutinho | Pedro de Azevedo Berger | C. Miosso | E. Machado | R. V. Borries | R. Jacobi | P. Berger | Murilo Coutinho | Thiago Marques
[1] Jean Ponce,et al. Task-Driven Dictionary Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[3] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[4] Yoshua Bengio,et al. Training deep neural networks with low precision multiplications , 2014 .
[5] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Francesco Piazza,et al. Fast neural networks without multipliers , 1993, IEEE Trans. Neural Networks.
[7] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[8] I. Johnstone,et al. Ideal spatial adaptation by wavelet shrinkage , 1994 .
[9] Rama Chellappa,et al. Analysis sparse coding models for image-based classification , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[10] Sachin S. Talathi,et al. Fixed Point Quantization of Deep Convolutional Networks , 2015, ICML.
[11] Emerson Lopes Machado,et al. Redução de custo computacional em classificações baseadas em transformadas aprendidas , 2016 .
[12] Erkki Oja,et al. Reduced Multidimensional Co-Occurrence Histograms in Texture Classification , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Kevin K Dobbin,et al. Optimally splitting cases for training and testing high dimensional classifiers , 2011, BMC Medical Genomics.
[14] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[15] Yoshua Bengio,et al. Neural Networks with Few Multiplications , 2015, ICLR.
[16] Pritish Narayanan,et al. Deep Learning with Limited Numerical Precision , 2015, ICML.
[17] Bernhard Pfahringer,et al. Compression-Based Discretization of Continuous Attributes , 1995, ICML.
[18] Pascal Frossard,et al. Dictionary Learning for Fast Classification Based on Soft-thresholding , 2014, International Journal of Computer Vision.
[19] Xiaoming Huo,et al. Uncertainty principles and ideal atomic decomposition , 2001, IEEE Trans. Inf. Theory.
[20] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[21] R. Siezen,et al. others , 1999, Microbial Biotechnology.
[22] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[23] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.
[24] Yoshua Bengio,et al. BinaryConnect: Training Deep Neural Networks with binary weights during propagations , 2015, NIPS.
[25] Geoffrey E. Hinton,et al. On rectified linear units for speech processing , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[26] Yoram Bresler,et al. Learning Sparsifying Transforms , 2013, IEEE Transactions on Signal Processing.
[27] Ran El-Yaniv,et al. Binarized Neural Networks , 2016, NIPS.
[28] Andrew L. Maas. Rectifier Nonlinearities Improve Neural Network Acoustic Models , 2013 .
[29] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[30] Jack J. Dongarra,et al. From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming , 2012, Parallel Comput..